News and Updates for the NYU Bern Dibner Library

Month: February 2017

In this session, intended for graduate students, we will explore various databases and resources with an emphasis on Mechanical Engineering Research. We’ll concentrate on how and where to use key tools, how to be most efficient and effective in your searching, and how to create systems and workflows that support your work. These techniques will be useful for researchers of all science disciplines, not just Mechanical Engineering students.

An introduction to R, the open source data analysis package. Topics include: installing R, creating and editing data sets, computing and re-coding variables, basic commands and some of the fundamentals of programming.

Learn how to extract and manage data from text and HTML files, interface with the web, and perform search functions on large datasets using introductory Python techniques. No prior knowledge of Python necessary. Bringing a laptop is recommended.

Attend this workshop to learn about about business resources and databases. Learn how business professionals find statistical data and information to make decisions. By the end of the session, you will be able to find company & financial Information, industry-specific resources, economic and statistical data, marketing information, and country information.

Learn how to extract and manage data from text and HTML files, interface with the web, and perform search functions on large datasets using introductory Python techniques. No prior knowledge of Python necessary.

There is increasing pressure from top journals and grant agencies to include supporting research data at time of publication, however the burden of storage and accessibility often falls to the researcher. This session will cover how you can use GitHub and the Open Science Framework to open up your research, as well as connect your publications with the corresponding data.

In this session we will provide an introduction to the range of Geographical Information System (GIS) platforms and resources supported by the GIS team within Data Services including ARCGIS, QGIS, and Carto.

​Do you have trouble reading your notes after class? Are you trying to write a scientific paper, but find it difficult to use Word? This workshop will introduce the LaTeX environment and provide helpful resources for new and experienced users.

This workshop will cover what High-Performance Computing (HPC) is and why and how it can be useful. We will discuss how HPC can help researchers, faculty teaching courses, and their students. We will describe the resources available at NYU, and how to get started.